Data Analytics & AI Co-op

Educational Recommendations:

Currently enrolled in a Bachelor’s or Master’s degree program in a quantitative field such as Data Science, Statistics, Finance, Economics, Computer Science, or a related field at an accredited university in the US.

 

• Build, maintain, and improve analytical solutions, including preparing datasets for analysis, exploration, and visualization

• Develop dashboards and reports that translate complex data into clear, actionable insights

• Apply appropriate analytical techniques and tools based on the structure and quality of available data

• Document and present analysis workflows, findings, and recommendations to both technical and non-technical stakeholders

• Support continuous improvement initiatives aimed at forecasting accuracy, automation, and data reliability
  
  
  
   

• Strong analytical foundation (statistics, time-series analysis, or basic machine learning concepts)

• Able to work with complex, multi-dimensional datasets

• Familiar with Power BI or similar data visualization tools

• Curious, proactive, and able to translate business needs into technical solutions in a collaborative environment

• It would be nice if you had: 

• Cost forecasting or financial planning (e.g., variance analysis, scenario modeling, driver-based planning)

• AI-enabled productivity tools, including model documentation, validation, or monitoring concepts

• Data processing or modeling using SQL, Python, or R

• Process automation or workflow optimization tools